Complexity And Cryptography

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Complexity and Cryptography

Author	: John Talbot
Publisher	: Cambridge University Press
Total Pages	: 310
Release	: 2006-01-12
ISBN-10	: 0521617715
ISBN-13	: 9780521617710
Rating	: 4/5 (710 Downloads)

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Book Synopsis Complexity and Cryptography by : John Talbot

Download or read book Complexity and Cryptography written by John Talbot and published by Cambridge University Press. This book was released on 2006-01-12 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory textbook on Cryptography.

Complexity and Cryptography Related Books

Language: en
Pages: 310

Complexity and Cryptography

Authors: John Talbot

Categories: Computers

Type: BOOK - Published: 2006-01-12 - Publisher: Cambridge University Press

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Introductory textbook on Cryptography.

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Complexity Theory and Cryptology

Authors: Jörg Rothe

Categories: Computers

Type: BOOK - Published: 2005-07-22 - Publisher: Springer Science & Business Media

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Modern cryptology increasingly employs mathematically rigorous concepts and methods from complexity theory. Conversely, current research topics in complexity th

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Complexity of Lattice Problems

Authors: Daniele Micciancio

Categories: Computers

Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Lattices are geometric objects that can be pictorially described as the set of intersection points of an infinite, regular n-dimensional grid. De spite their ap

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Tutorials on the Foundations of Cryptography

Authors: Yehuda Lindell

Categories: Computers

Type: BOOK - Published: 2017-04-05 - Publisher: Springer

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This is a graduate textbook of advanced tutorials on the theory of cryptography and computational complexity. In particular, the chapters explain aspects of gar

Language: en
Pages: 609

Computational Complexity

Authors: Sanjeev Arora

Categories: Computers

Type: BOOK - Published: 2009-04-20 - Publisher: Cambridge University Press

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New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.